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⚡️ Speed up function _leapfrog_step_body_tf by 589% #1080

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⚡️ Speed up function _leapfrog_step_body_tf by 589% #1080

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4 changes: 3 additions & 1 deletion code_to_optimize/sample_code.py
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Original file line number Diff line number Diff line change
Expand Up @@ -363,6 +363,7 @@ def tridiagonal_solve_tf(a, b, c, d):
return x


@tf.function(jit_compile=True)
def _leapfrog_compute_accelerations_tf(pos, masses, softening, G):
diff = tf.expand_dims(pos, 0) - tf.expand_dims(pos, 1)

Expand All @@ -374,10 +375,11 @@ def _leapfrog_compute_accelerations_tf(pos, masses, softening, G):

force_factor = G * tf.expand_dims(masses, 0) / dist_cubed

acc = tf.reduce_sum(tf.expand_dims(force_factor, -1) * diff, axis=1)
acc = tf.einsum('ij,ijk->ik', force_factor, diff)
return acc


@tf.function(jit_compile=True)
def _leapfrog_step_body_tf(i, pos, vel, masses, softening, dt, n_steps):
G = 1.0
acc = _leapfrog_compute_accelerations_tf(pos, masses, softening, G)
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